Real time or batch?
Real time querying with AsscherAi helps a purchasing manager decide whether to place an urgent order for a critical component by providing current stock levels, while batch processing can inform a category manager's decision when comparing suppliers, depending on the organisation's specific needs and question urgency.
A purchasing manager checks the inventory levels on a Tuesday morning to decide whether to place an urgent order for a critical component, and the answer to their question about current stock levels determines their next action. This is a situation where the organisation's data needs to be queried in real time, using a system like AsscherAi, to get an accurate answer. However, not all questions require real time answers, and some can be answered just as effectively through batch processing.
Commitments of real time and batch
Real time querying commits you to having up to date data available at all times, which can be resource intensive, particularly if the data is complex or comes from multiple sources. This requires significant investment in data storage, processing power, and network infrastructure to ensure that queries can be answered quickly and accurately. On the other hand, batch processing commits you to processing data in large chunks, which can lead to delays in getting answers to questions, but can also be more efficient in terms of resource usage.
The choice between real time and batch processing depends on the specific needs of the organisation and the type of questions being asked. For example, a shift supervisor checking the maintenance log may need real time answers to ensure that equipment is running safely and efficiently, while a category manager comparing two suppliers may be able to use batch processed data to inform their decision.
The case for the other option
There are cases where batch processing is the better choice, even if it seems like real time querying would be more beneficial. For instance, if the question being asked is not time sensitive, or if the data being queried is not subject to frequent changes, then batch processing can be a more efficient and cost effective option. Additionally, if the organisation has limited resources, batch processing can help to reduce the load on the system and prevent overload.
Most people get wrong the idea that real time querying is always the best option, and that batch processing is outdated. However, this is not the case, and the choice between the two depends on the specific needs of the organisation. By understanding the commitments and trade-offs of each option, organisations can make informed decisions about how to query their data.
Hidden costs
The cost of real time querying can be significant, and may only become apparent after the system has been implemented. For example, the cost of storing and processing large amounts of data in real time can be substantial, and may require significant investment in hardware and software. Additionally, the cost of maintaining and updating the system to ensure that it continues to run smoothly and efficiently can also be high.
On the other hand, batch processing can also have hidden costs, such as the cost of storing and processing large chunks of data, and the cost of delaying answers to questions. However, these costs can be mitigated by carefully planning and implementing the batch processing system, and by ensuring that it is well integrated with the rest of the organisation's systems.
Deciding without a long evaluation
To decide between real time and batch processing without a lengthy evaluation, organisations can start by identifying the types of questions that need to be answered, and the level of urgency associated with each question. They can then use this information to determine which questions require real time answers, and which can be answered through batch processing. For more information on how to implement a real time or batch processing system, visit our website.
By taking a structured approach to deciding between real time and batch processing, organisations can ensure that they are getting the most out of their data, and that they are using their resources efficiently. This can involve assessing the current systems and processes, and identifying areas where real time or batch processing can add value. For help with assessing your organisation's systems and processes, contact us at contact-us.
Limitations of real time or batch
The choice between real time and batch processing is not a one size fits all solution, and there are cases where neither option is suitable. For example, if the organisation's data is highly complex or unstructured, then neither real time nor batch processing may be effective, and a more bespoke solution may be required. Additionally, if the organisation's systems and processes are not well integrated, then real time or batch processing may not be able to provide accurate or timely answers to questions.
In these cases, organisations may need to consider alternative solutions, such as using a combination of real time and batch processing, or implementing a more advanced data analytics system. By understanding the limitations of real time and batch processing, organisations can ensure that they are using the most effective solution for their specific needs, and that they are getting the most out of their data.
Frequently asked questions
What is the main difference between real time and batch processing?
Real time querying provides immediate answers, while batch processing answers questions in large chunks, which can lead to delays but is more efficient in terms of resource usage.
When is batch processing the better choice?
Batch processing is better when questions are not time sensitive, or when data is not subject to frequent changes, as it can be more efficient and cost effective.
What are the hidden costs of real time querying?
The hidden costs of real time querying include substantial storage and processing costs, as well as maintenance and update costs to ensure the system runs smoothly.
How can organisations decide between real time and batch processing?
Organisations can decide by identifying question types and urgency levels, then determining which questions require real time answers and which can be answered through batch processing.